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Automation
Command

/cleanup

Clean up .a5c/runs and .a5c/processes directories. Aggregates insights from completed/failed runs into docs/run-history-insights.md, then removes old run data and orphaned process files.

From plugin
babysitter
1.7k21 skills3 agents21 commands1 MCP
Install
$ npx -y skills add a5c-ai/babysitter --agent claude-code

How it fires

How this command gets triggered: by you, by Claude, or both.

  • Fires itselfClaude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/cleanup

Context preview

What this command does when you run it.

Clean up .a5c/runs and .a5c/processes directories. Aggregates insights from completed/failed runs into docs/run-history-insights.md, then removes old run data and orphaned process files.

Command definition

cleanup.md
description: Clean up .a5c/runs and .a5c/processes directories. Aggregates insights from completed/failed runs into docs/run-history-insights.md, then removes old run data and orphaned process files.
argument-hint: "[--dry-run] [--keep-days N] Optional flags. --dry-run shows what would be removed without deleting. --keep-days N keeps runs newer than N days (default 7)."
allowed-tools: Read, Grep, Write, Task, Bash, Edit, Grep, Glob, WebFetch, WebSearch, Search, AskUserQuestion, TodoWrite, TodoRead, Skill, BashOutput, KillShell, MultiEdit, LS

Invoke the babysitter:babysit skill (using the Skill tool) and follow its instructions (SKILL.md).

Resolve the active process library with:

babysitter process-library:active --json

Read `binding.dir` from that JSON and create/run the cleanup process from `cradle/cleanup-runs.js#process` relative to that active library root. Do not use plugin-cache-relative cradle paths.

Implementation notes (for the process):

  • Parse arguments for `--dry-run` flag (if present, set dryRun: true in inputs) and `--keep-days N` (default: 7)

CRITICAL: The cleanup MUST follow this exact phase order. Do NOT delete any run before Phase 2 completes.

Phase 1 — Scan:

  • Scan .a5c/runs/ for all runs
  • Classify each as terminal (completed/failed) or active (in-progress/created)
  • Identify terminal runs older than the keep-days threshold as removal candidates
  • Never mark active/in-progress runs for removal
  • Count and report: total runs, terminal, active, removal candidates, disk usage

Phase 2 — Aggregate insights (BEFORE any deletion):

  • For EVERY removal candidate, read its run.json and journal/ events
  • Extract: processId, prompt, status, event count, created date, task summaries
  • Group by process type and extract patterns (retry counts, convergence behavior, failure modes)
  • Append a new dated section to docs/run-history-insights.md with:
  • Summary statistics (runs removed, disk freed, runs retained)
  • Run categories with counts and descriptions
  • Key patterns observed (multi-batch convergence, retry behavior, etc.)
  • What worked well / what didn't from the run data
  • This file MUST be written and verified before proceeding to Phase 3

Phase 3 — Confirm removal:

  • In interactive mode, show the user what will be removed via a breakpoint
  • In non-interactive mode (yolo), proceed with defaults
  • In dry-run mode, stop here and show what would be removed

Phase 4 — Remove:

  • Delete the terminal runs older than keep-days threshold
  • Identify and remove orphaned process files not referenced by remaining runs
  • Show remaining run count and disk usage after cleanup
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Ships withbabysitter

Enforce obedience on agentic workforces. Manage extremely complex workflows through deterministic, hallucination-free self-orchestration.

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Repo: a5c-ai/babysitter